Tag: Nature Reviews Physics

Cover Nature Reviews Physics

Authors: Emanuele Bosoni, Louis Beal, Marnik Bercx, Peter Blaha, Stefan Blügel, Jens Bröder, Martin Callsen, Stefaan Cottenier, Augustin Degomme, Vladimir Dikan, Kristjan Eimre, Espen Flage-Larsen, Marco Fornari, Alberto Garcia, Luigi Genovese, Matteo Giantomassi, Sebastiaan P. Huber, Henning Janssen, Georg Kastlunger, Matthias Krack, Georg Kresse, Thomas D. Kühne, Kurt Lejaeghere, Georg K. H. Madsen, Martijn Marsman, Nicola Marzari, Gregor Michalicek, Hossein Mirhosseini, Tiziano M. A. Müller, Guido Petretto, Chris J. Pickard, Samuel Poncé, Gian-Marco Rignanese, Oleg Rubel, Thomas Ruh, Michael Sluydts, Danny E.P. Vanpoucke, Sudarshan Vijay, Michael Wolloch, Daniel Wortmann, Aliaksandr V. Yakutovich, Jusong Yu, Austin Zadoks, Bonan Zhu, and Giovanni Pizzi
Journal: Nature Reviews Physics 6(1), (2024)
doi: web only
IF(2021): 36.273
export: NA
pdf: <NatRevPhys>

Abstract

The cover of this issue shows an artistic representation of the equations of state of the periodic table elements, calculated using two all-electron codes in each of the 10 crystal structure configurations shown on the table. The cover image is based on the Perspective Article How to verify the precision of density-functional-theory implementations via reproducible and universal workflows by E. Bosoni et al., https://doi.org/10.1038/s42254-023-00655-3.  (The related paper can be found here.)

Cover Nature Reviews Physics: Accuracy of DFT modeling in solids

 

How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

Authors: Emanuele Bosoni, Louis Beal, Marnik Bercx, Peter Blaha, Stefan Blügel, Jens Bröder, Martin Callsen, Stefaan Cottenier, Augustin Degomme, Vladimir Dikan, Kristjan Eimre, Espen Flage-Larsen, Marco Fornari, Alberto Garcia, Luigi Genovese, Matteo Giantomassi, Sebastiaan P. Huber, Henning Janssen, Georg Kastlunger, Matthias Krack, Georg Kresse, Thomas D. Kühne, Kurt Lejaeghere, Georg K. H. Madsen, Martijn Marsman, Nicola Marzari, Gregor Michalicek, Hossein Mirhosseini, Tiziano M. A. Müller, Guido Petretto, Chris J. Pickard, Samuel Poncé, Gian-Marco Rignanese, Oleg Rubel, Thomas Ruh, Michael Sluydts, Danny E.P. Vanpoucke, Sudarshan Vijay, Michael Wolloch, Daniel Wortmann, Aliaksandr V. Yakutovich, Jusong Yu, Austin Zadoks, Bonan Zhu, and Giovanni Pizzi
Journal: Nature Reviews Physics 6(1), 45-58 (2024)
doi: 10.1038/s42254-023-00655-3
IF(2021): 36.273
export: bibtex
pdf: <NatRevPhys>
<ArXiv:2305.17274>

 

“We hope our dataset will be a reference for the field for years to come,” says Giovanni Pizzi, leader of the Materials Software and Data Group at the Paul Scherrer Institute PSI, who led the study. (Image: Paul Scherrer Insitute / Giovanni Pizzi)
Graphical Abstract: “We hope our dataset will be a reference for the field for years to come,” says Giovanni Pizzi, leader of the Materials Software and Data Group at the Paul Scherrer Institute PSI, who led the study. (Image: Paul Scherrer Insitute / Giovanni Pizzi)

Abstract

Density-functional theory methods and codes adopting periodic boundary conditions are extensively used in condensed matter physics and materials science research. In 2016, their precision (how well properties computed with different codes agree among each other) was systematically assessed on elemental crystals: a first crucial step to evaluate the reliability of such computations. In this Expert Recommendation, we discuss recommendations for verification studies aiming at further testing precision and transferability of density-functional-theory computational approaches and codes. We illustrate such recommendations using a greatly expanded protocol covering the whole periodic table from Z = 1 to 96 and characterizing 10 prototypical cubic compounds for each element: four unaries and six oxides, spanning a wide range of coordination numbers and oxidation states. The primary outcome is a reference dataset of 960 equations of state cross-checked between two all-electron codes, then used to verify and improve nine pseudopotential-based approaches. Finally, we discuss the extent to which the current results for total energies can be reused for different goals.